Unsupervisedhttps://simplecast.comUnsupervised is a podcast about Data Science in Israel. At each episode we interview an industry professional or a researcher from academia and discuss different aspects and problems in data science. We want to give a peek to what’s going on with data science across the Israeli industry and also to talk about different algorithms, tools, papers, methods and pretty much everything that’s interesting and related to Data Science and Machine Learning.
The podcast is aimed to data science professionals and researchers, as well as for those who work and collaborate with data science teams and beginners in the field.
All Episodes are recorded in Hebrew.
We want to thank Samsung Next for hosting us.heSat, 03 Nov 2018 19:08:00 +0200Tue, 18 Dec 2018 16:05:18 +0200http://www.unsupervised-podcast.xyz/
https://media.simplecast.com/podcast/image/3605/1508613026-artwork.jpgUnsupervisedhttp://www.unsupervised-podcast.xyz/
https://rss.simplecast.com/podcasts/3605/rssInbar Naor & Shir Meir LadorUnsupervised is a podcast about Data Science in Israel. At each episode we interview an industry professional or a researcher from academia and discuss different aspects and problems in data science. We want to give a peek to what’s going on with data science across the Israeli industry and also to talk about different algorithms, tools, papers, methods and pretty much everything that’s interesting and related to Data Science and Machine Learning.
The podcast is aimed to data science professionals and researchers, as well as for those who work and collaborate with data science teams and beginners in the field.
All Episodes are recorded in Hebrew.
We want to thank Samsung Next for hosting us.Unsupervised is a podcast about Data Science in Israel.noMachine Learning, Data Science, NLP, Deep Learning, AIepisodicInbar Naorinbar.naor1@gmail.comFairness In Machine Learning and AI, with Gal Yona and Yafit Lev-Aretz42d2733a-0242-4608-94c6-1868010d5b85http://www.unsupervised-podcast.xyz/5d7fc118
AI and ML algorithms are becoming increasingly popular, being implemented in finance, health and law enforcement systems. Mistakes these algorithms can make can have tremendous impact on people’s lives, leading to many ethical and legal questions; how do we define fairness in this context? On what personal rights do these algorithms affect? How can people appeal decisions made by algorithms? These questions, in turn, pose computational challenges, like improving the explainability of algorithms and enforcing algorithmic fairness toward minority groups. In this episode we talk to Gal Yona, from Weitzmann institute, and Yafit Lev-Aretz, from City University of New York. Together they provide us with an introduction to the hot topic of fairness in AI, from computational and legal perspective.
Sat, 03 Nov 2018 19:08:00 +0200inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:58:47AI and ML algorithms are becoming increasingly popular, being implemented in finance, health and law enforcement systems. Mistakes these algorithms can make can have tremendous impact on people’s lives, leading to many ethical and legal questions; how do we define fairness in this context? On what personal rights do these algorithms affect? How can people appeal decisions made by algorithms? These questions, in turn, pose computational challenges, like improving the explainability of algorithms and enforcing algorithmic fairness toward minority groups. In this episode we talk to Gal Yona, from Weitzmann institute, and Yafit Lev-Aretz, from City University of New York. Together they provide us with an introduction to the hot topic of fairness in AI, from computational and legal perspective.
AI and ML algorithms are becoming increasingly popular, being implemented in finance, health and law enforcement systems. Mistakes these algorithms can make can have tremendous impact on people’s lives, leading to many ethical and legal questions; how do nofull10On crazy research ideas and how to make them happen, with Dafna Shahaf09db9f04-577e-4d6c-b242-b71bd057bd95http://www.unsupervised-podcast.xyz/90d14591
Dafna Shahaf has so many cool research projects. In this episode we talked about a few of them - using metro maps to visualize information about events and storylines; an algorithm that judges jokes; a search engine that finds creative solutions using analogies; finding surprising facts in wikipedia.
She tells us how she comes up with these ideas, how she choses which ones to focus on and about her way of "failing fast".
Dafna Shahaf has so many cool research projects. In this episode we talked about a few of them - using metro maps to visualize information about events and storylines; an algorithm that judges jokes; a search engine that finds creative solutions using analogies; finding surprising facts in wikipedia.
She tells us how she comes up with these ideas and how she choses which ones to focus on.

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Wed, 15 Aug 2018 18:34:00 +0300inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:49:56Dafna Shahaf has so many cool research projects. In this episode we talked about a few of them - using metro maps to visualize information about events and storylines; an algorithm that judges jokes; a search engine that finds creative solutions using analogies; finding surprising facts in wikipedia.
She tells us how she comes up with these ideas, how she choses which ones to focus on and about her way of "failing fast".
Dafna Shahaf has so many cool research projects. In this episode we talked about a few of them - using metro maps to visualize information about events and storylines; an algorithm that judges jokes; a search engine that finds creative solutions using anofull9From Researcher to Entrepreneur and DL for Medical Imaging, with David Golan f9a9323f-7ad9-4273-91fa-b599a27b35e8http://www.unsupervised-podcast.xyz/0fe16eb8
David Golan was on the track to becoming a university professor. Then something happened that made him changed route. He co-founded viz.ai - a company that helps doctors detect strokes quickly. We talked about How to use Deep Learning when you don't have a lot of data; about the challenges in building an AI-oriented company in the field of medicine; and about how the time he spent as a researcher helps him as an entrepreneur.
David Golan was on the track to becoming a university professor. Then something happened that made him changed route. He co-founded viz.ai - a company that helps doctors detect strokes quickly. We talked about How to use Deep Learning when you don't have a lot of data; about the challenges in building an AI oriented company in the field of medicine; and about how the time he spent as a researcher helps him as an entrepreneur.
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Sun, 20 May 2018 23:20:00 +0300inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:55:57David Golan was on the track to becoming a university professor. Then something happened that made him changed route. He co-founded viz.ai - a company that helps doctors detect strokes quickly. We talked about How to use Deep Learning when you don't have a lot of data; about the challenges in building an AI-oriented company in the field of medicine; and about how the time he spent as a researcher helps him as an entrepreneur.
David Golan was on the track to becoming a university professor. Then something happened that made him changed route. He co-founded viz.ai - a company that helps doctors detect strokes quickly. We talked about How to use Deep Learning when you don't have Deep Learning, Computer Vision, Medical Imaging, Radiologynofull8Managing Data Science Teams and Getting into New Domains, with Yair Mazor31536056-2bbb-4a56-af30-3ada29b7e93ahttp://www.unsupervised-podcast.xyz/eb8de45f
Yair Mazor is the head of Data Science at windward. In this episode we talked about how to efficiently getting into new domain as a data scientist, about data science for maritime analytics and about different aspects in managing data science teams: the pros and cons of working as teams of data scientists vs. being a part of product and development teams; balancing between short and long term research goals; working with product managers and finally - can data scientists work in agile?
Yair Mazor is the head of Data Science at windward. In this episode we talked about how to efficiently getting into new domain as a data scientist, about data science for maritime analytics and about different aspects in managing data science teams: the pros and cons of working as teams of data scientists vs. being a part of product and development teams; balancing between short and long term research goals; working with product managers and finally - can data scientists work in agile?
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Sun, 25 Mar 2018 10:20:00 +0300inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:55:02Yair Mazor is the head of Data Science at windward. In this episode we talked about how to efficiently getting into new domain as a data scientist, about data science for maritime analytics and about different aspects in managing data science teams: the pros and cons of working as teams of data scientists vs. being a part of product and development teams; balancing between short and long term research goals; working with product managers and finally - can data scientists work in agile?
Yair Mazor is the head of Data Science at windward. In this episode we talked about how to efficiently getting into new domain as a data scientist, about data science for maritime analytics and about different aspects in managing data science teams: the nofull7On the Interaction of Humans and Intelligent Systems, with Ofra Amir90be34c4-96de-4d14-ac6a-fadcd2c437a8http://www.unsupervised-podcast.xyz/0e0098ce
Ofra Amir did her PhD in computer science in Harvard, where she studied the interactions between humans and intelligent machines. In this episode we talk with Ofra about designing algorithms whose goal is to improve human performance in a given task, how to design metrics when some of your goals are not easily measurable, and how to explain the decisions of intelligent agents to humans.
Ofra Amir did her PhD in computer science in Harvard, where she studied the interactions between humans and intelligent machines. In this episode we talk with Ofra about designing algorithms whose goal is to improve human performance in a given task, how to design metrics when some of your goals are not easily measurable, and how to explain the decisions of intelligent agents to humans.

a classic paper about mixed-initiative interfaces - interfaces that use some sort of AI/ML. Addressing issues like how to handle uncertainty about user intents etc...:
http://erichorvitz.com/chi99horvitz.pdf

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Sun, 25 Feb 2018 13:11:00 +0200inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:44:21Ofra Amir did her PhD in computer science in Harvard, where she studied the interactions between humans and intelligent machines. In this episode we talk with Ofra about designing algorithms whose goal is to improve human performance in a given task, how to design metrics when some of your goals are not easily measurable, and how to explain the decisions of intelligent agents to humans.
Ofra Amir did her PhD in computer science in Harvard, where she studied the interactions between humans and intelligent machines. In this episode we talk with Ofra about designing algorithms whose goal is to improve human performance in a given task, how nofull6Data Science is more than just ML, with Nimrod Priell4f42c255-c8da-4f99-81b6-8dafc59592a9http://www.unsupervised-podcast.xyz/400b5a5e
Yo data scientists, Nimrod Priell has a very important message for you - Data Science is much more than just Machine Learning. It may sound trivial when you think about it, but yet it's very easy to forget these days. Nimrod, a Data Science team lead at facebook, told us about 7 different products of a data scientist (only one of which is a machine learning model!), about the two metrics he uses to evaluate a product, and how it helps him to manage data science projects and build a versatile and diverse team. We found this talk very interesting, and hope you do too.
Yo data scientists, Nimrod Priell has a very important message for you - Data Science is much more than just Machine Learning. It may sound trivial when you think about it, but yet it's very easy to forget these days. Nimrod, a Data Science team lead at facebook, told us about 7 different products of a data scientist (only one of which is a machine learning model!), about the two metrics he uses to evaluate a product, and how it helps him to manage data science projects and build a versatile and diverse team. We found this talk very interesting, and hope you do too.
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Sun, 28 Jan 2018 10:50:00 +0200inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:57:44Yo data scientists, Nimrod Priell has a very important message for you - Data Science is much more than just Machine Learning. It may sound trivial when you think about it, but yet it's very easy to forget these days. Nimrod, a Data Science team lead at facebook, told us about 7 different products of a data scientist (only one of which is a machine learning model!), about the two metrics he uses to evaluate a product, and how it helps him to manage data science projects and build a versatile and diverse team. We found this talk very interesting, and hope you do too.
Yo data scientists, Nimrod Priell has a very important message for you - Data Science is much more than just Machine Learning. It may sound trivial when you think about it, but yet it's very easy to forget these days. Nimrod, a Data Science team lead at fnofull5What do Data Scientists do in the Army? with Sefi Cohen5dd9e935-a60b-4881-a575-2acec320f635http://www.unsupervised-podcast.xyz/1e09cc5b
In this episode we talked with Sefi Cohen, head of Data Science squad in the IDF. He tells us about the different projects they're doing and how he started a Data Science team with very little knowledge of Machine Learning and Data Science techniques, how he chose the right people for this team and how they all learned the craft together.
Thu, 28 Dec 2017 10:38:00 +0200inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:30:06In this episode we talked with Sefi Cohen, head of Data Science squad in the IDF. He tells us about the different projects they're doing and how he started a Data Science team with very little knowledge of Machine Learning and Data Science techniques, how he chose the right people for this team and how they all learned the craft together.
In this episode we talked with Sefi Cohen, head of Data Science squad in the IDF. He tells us about the different projects they're doing and how he started a Data Science team with very little knowledge of Machine Learning and Data Science techniques, howIDF, Kagglenofull4ML in Health Care, Causal Inference and Motifs in Music, with Uri Shalitf59b051d-9f3c-4eaf-aaa9-2cfa7c700b5ahttp://www.unsupervised-podcast.xyz/09195ad6
Uri Shalit did his Ph.d at the Hebrew University and a post doc in NYU. We talked about his research in machine learning for Health Care and what are the unique challenges in this field, about Causal Inference and how it is relevant to many machine learning problems, and about a cool study he did during his Ph.d about Motif identification in music.
Uri Shalit did his Ph.d at the Hebrew University and a post doc in NYU. We talked about his research in machine learning for Health Care and what are the unique challenges in this field, about Causal Inference and how it is relevant to many machine learning problems, and about a cool study he did during his Ph.d about Motif identification in music.

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Tue, 12 Dec 2017 20:55:00 +0200inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:48:04Uri Shalit did his Ph.d at the Hebrew University and a post doc in NYU. We talked about his research in machine learning for Health Care and what are the unique challenges in this field, about Causal Inference and how it is relevant to many machine learning problems, and about a cool study he did during his Ph.d about Motif identification in music.
Uri Shalit did his Ph.d at the Hebrew University and a post doc in NYU. We talked about his research in machine learning for Health Care and what are the unique challenges in this field, about Causal Inference and how it is relevant to many machine learninofull3The First Data Scientist, with Galit Bary Weisberg310d3a8b-ef3f-4828-8fc0-8a7130aa500fhttp://www.unsupervised-podcast.xyz/e502c1e7
What's it like to be the only data scientist at a company? What mistakes companies do when building their data science team and how to avoid them? And what did it feel like when Intel acquired Mobileye? Galit Bary Weisberg is here to answer all of these questions.
On this episode we talked with Galit Bary Weisberg, a data scientist from Mobileye. Before Mobileye Galit was the first and only data scientist in a startup called Matific, which develops interactive games for teaching math. We talked about the challenges of being a sole data scientist in a company. Which errors startup companies usually do when building a data science team in a company and what one can do to make the process smoother. In addition we talked about Galit's work at Mobileye, how to implement in practice deep learning models and how does her day look like.
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Sun, 19 Nov 2017 23:02:00 +0200inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:35:18What's it like to be the only data scientist at a company? What mistakes companies do when building their data science team and how to avoid them? And what did it feel like when Intel acquired Mobileye? Galit Bary Weisberg is here to answer all of these questions.
What's it like to be the only data scientist at a company? What mistakes companies do when building their data science team and how to avoid them? And what did it feel like when Intel acquired Mobileye? Galit Bary Weisberg is here to answer all of these active learning, deep learning, data science colturenofull2Deep Learning for NLP with Yoav Goldberg2aa316de-3c25-42d8-a765-bc32af323bc2http://www.unsupervised-podcast.xyz/11734c9e
On the first episode we talked with Yoav Goldberg from Bar Ilan university about NLP, deep learning research, life in academia and that medium blog post that started a fire. Click on the episode name to get a list of resources related to what we talked about.
On the first episode we talked with Yoav Goldberg from Bar Ilan university about NLP, deep learning research, life in academia and that medium blog post that started a fire.

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Sat, 21 Oct 2017 10:01:00 +0300inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:49:29On the first episode we talked with Yoav Goldberg from Bar Ilan university about NLP, deep learning research, life in academia and that medium blog post that started a fire. Click on the episode name to get a list of resources related to what we talked about.
On the first episode we talked with Yoav Goldberg from Bar Ilan university about NLP, deep learning research, life in academia and that medium blog post that started a fire. Click on the episode name to get a list of resources related to what we talked abNLP, deep learning, arxivnofull1What is this podcast anyway?01540601-e6af-488f-90fb-9c3e639d6215http://www.unsupervised-podcast.xyz/beac04f9
In this short episode we tell you a bit about this podcast and about ourselves.
Thu, 19 Oct 2017 08:30:00 +0300inbar.naor1@gmail.com (Inbar Naor & Shir Meir Lador)Inbar Naor & Shir Meir Lador00:09:25In this short episode we tell you a bit about this podcast and about ourselves.
In this short episode we tell you a bit about this podcast and about ourselves.
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